Sat.Aug 18, 2018 - Fri.Aug 24, 2018

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Sustaining wonder: Jupyter and the knowledge commons

O'Reilly on Data

Carol Willing shows how Jupyter's challenges can be addressed by embracing complexity and trusting others. Continue reading Sustaining wonder: Jupyter and the knowledge commons.

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As Nice as Pie

Peter James Thomas

© Randall Munroe of xkcd.com – Image adjusted to fit dimensions of this page. Work by the inimitable Randall Munroe, author of long-running web-comic, xkcd.com , has been featured (with permission) multiple times on these pages [1]. The above image got me thinking that I had not penned a data visualisation article since the series starting with Hurricanes and Data Visualisation: Part I – Rainbow’s Gravity nearly a year ago.

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What AI Means to a Data Scientist

Birst BI

How many times have you wished for more hours in the day so you can complete more tasks? A key goal of AI or machine learning automation is to have machines complete tasks for you, freeing up time so you can focus on the more complex, higher-value tasks. However, there are simply not enough data scientists in the world to deliver on the AI potential.

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What’s your game plan for AI? 

IBM Big Data Hub

On September 13, Rob Thomas together with ESPN anchor Hannah Storm, will lead a discussion around the transformative potential of AI, the importance of a multi-cloud architecture — and how companies representing a range of industries – from manufacturing to health care — are winning with AI. Attend in person in NYC and enjoy intimate networking and learning sessions – or alternatively catch the Livestream from your home or office.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Why contribute to open source?

O'Reilly on Data

Julia Meinwald outlines effective ways to support the unseen labor maintaining a healthy open source ecosystem. Continue reading Why contribute to open source?

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Convergent Evolution

Peter James Thomas

No this article has not escaped from my Maths & Science section , it is actually about data matters. But first of all, channeling Jennifer Aniston [1] , “here comes the Science bit – concentrate” Shared Shapes. The Theory of Common Descent holds that any two organisms, extant or extinct, will have a common ancestor if you roll the clock back far enough.

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How advanced analytics pulls insights from the weather, part 2

IBM Big Data Hub

The forces of nature can be unpredictable. Businesses & organizations can pull substantial value our of weather data through advanced analytics, machine learning & AI.

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The reporter’s notebook

O'Reilly on Data

Mark Hansen explains how computation has forever changed the practice of journalism. Continue reading The reporter’s notebook.

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Latest Interviews / Podcasts

Peter James Thomas

The interviews that I conduct with leaders in their fields as part of my “In-depth” series have hopefully brought a new and interesting aspect to this site. However, often the boot is on the other foot and I am the person being interviewed about my experience and expertise in the data field and related matters [1]. Maybe interviewing other people helps me when I am in turn interviewed, maybe it’s the other way round.

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Review of “Driving Digital Strategy” (HBR Press) Part 1

DSI Analytics

Title: Driving Digital Strategy: A Guide to Reimagining Your Business This book was published by HBR Press on July 24, 2018 Author: SUNIL GUPTA is the Edward W. Carter Professor of Business at Harvard Business School, where he is the chair of the General Management Program and co-chair of the executive program on Driving Digital […]. The post Review of “Driving Digital Strategy” (HBR Press) Part 1 appeared first on DSI Analytics.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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IBM Storage’s SDI Group Announces New MultiCloud Solutions

Hurwitz & Associates

By Jean S. Bozman. IBM is targeting multicloud storage as a growth area for its IBM Storage systems and IBM software-defined storage products. On Aug. 14, 2018, the company expanded multicloud support across its portfolio of software-defined infrastructure (SDI) solutions. The announcements build on earlier IBM Storage announcements for products, features and solutions for simplified backup and recovery, object storage through IBM Cloud Object Storage, and support for scalable clusters in cloud

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Jupyter in the enterprise

O'Reilly on Data

Luciano Resende explores some of the open source initiatives IBM is leading in the Jupyter ecosystem. Continue reading Jupyter in the enterprise.

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Nutanix Expands Workplace Diversity with Apprenticeships and Returnships

Nutanix

The heartbeat of a company is its people. With greater diversity, comes greater opportunity too, as was famously said by Malcolm Forbes, the American entrepreneur, “think independently together,” and attack business challenges from a variety of valuable perspectives.

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Highlights from JupyterCon in New York 2018

O'Reilly on Data

Watch keynotes covering Jupyter's role in business, data science, higher education, open source, journalism, and other domains, from JupyterCon in New York 2018. People from across the Jupyter community are coming together in New York for JupyterCon. Below you'll find links to keynotes from the event. All the cool kids are doing it, maybe we should too?

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.